ClustrixDB vs Oracle PL/SQL

Overview

ClustrixDB

Stacks4

Followers35

Votes3

Oracle PL/SQL

Stacks749

Followers598

Votes8

ClustrixDB vs Oracle PL/SQL: What are the differences?

Scalability: ClustrixDB is designed specifically for horizontal scalability, allowing organizations to easily add new nodes to handle increased data workload demands, while Oracle PL/SQL follows a traditional vertical scalability model.
ACID Compliance: ClustrixDB provides full ACID compliance with distributed transactions out of the box, whereas Oracle PL/SQL requires additional configurations to achieve similar levels of transactional consistency in a distributed environment.
Sharding: ClustrixDB automatically shards data across multiple nodes, providing transparent data distribution and improved performance, while Oracle PL/SQL relies on manual sharding techniques for distributing data and workload across multiple instances.
Consistency Model: ClustrixDB utilizes a fully serializable isolation level for transactions, ensuring data consistency in all scenarios, whereas Oracle PL/SQL offers different isolation levels like Read Committed, Repeatable Read, and Serializable, which require manual configuration based on the application's needs.
Built-in Data Distribution: ClustrixDB natively distributes data across all nodes in the cluster, enabling automatic load balancing and fault tolerance, while Oracle PL/SQL relies on third-party tools or manual partitioning techniques for achieving similar data distribution functionalities.
Cost: ClustrixDB typically offers a more cost-effective solution for scaling out and handling large data workloads compared to Oracle PL/SQL, which can be costly in terms of licensing fees and hardware infrastructure.

In Summary, ClustrixDB and Oracle PL/SQL differ in terms of scalability, ACID compliance, sharding, consistency model, built-in data distribution, and cost.

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Detailed Comparison

ClustrixDB	Oracle PL/SQL
ClustrixDB is a scale-out SQL database built from the ground up with a distributed shared nothing architecture, automatic data redistribution (so you never need to shard), with built in fault tolerance, all accessible by a simple SQL interface and support for business critical MySQL features – replication, triggers, stored routines, etc.	It is a powerful, yet straightforward database programming language. It is easy to both write and read, and comes packed with lots of out-of-the-box optimizations and security features.
Is built from the ground up with a shared-nothing architecture. There is no MySQL code in ClustrixDB;Is built to scale transactions while maintaning ACID;Scales to add capacity by simply adding commodity servers to the cluster;Is fault tolerant and automatically recovers in the face of hardware or other failure;Uses a simple SQL interface that is compatible with MySQL syntax	-
Statistics
Stacks 4	Stacks 749
Followers 35	Followers 598
Votes 3	Votes 8
Pros & Cons
Pros 1 Very High Connection Count 1 ClustrixDB is a scale-out RDBMS and drop-in replacement 1 Relational Scale-Out database	Pros 2 Powerful 2 Multiple ways to accomplish the same end 1 Massive, continuous investment by Oracle Corp 1 Not mysql 1 Pl/sql Cons 2 High commercial license cost
Integrations
No integrations available	Python PHP .NET Node.js Oracle Hadoop Java

What are some alternatives to ClustrixDB, Oracle PL/SQL?

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

GraphQL

GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

Related Comparisons

ClustrixDB vs Oracle PL/SQL: What are the differences?

Scalability: ClustrixDB is designed specifically for horizontal scalability, allowing organizations to easily add new nodes to handle increased data workload demands, while Oracle PL/SQL follows a traditional vertical scalability model.
ACID Compliance: ClustrixDB provides full ACID compliance with distributed transactions out of the box, whereas Oracle PL/SQL requires additional configurations to achieve similar levels of transactional consistency in a distributed environment.
Sharding: ClustrixDB automatically shards data across multiple nodes, providing transparent data distribution and improved performance, while Oracle PL/SQL relies on manual sharding techniques for distributing data and workload across multiple instances.
Consistency Model: ClustrixDB utilizes a fully serializable isolation level for transactions, ensuring data consistency in all scenarios, whereas Oracle PL/SQL offers different isolation levels like Read Committed, Repeatable Read, and Serializable, which require manual configuration based on the application's needs.
Built-in Data Distribution: ClustrixDB natively distributes data across all nodes in the cluster, enabling automatic load balancing and fault tolerance, while Oracle PL/SQL relies on third-party tools or manual partitioning techniques for achieving similar data distribution functionalities.
Cost: ClustrixDB typically offers a more cost-effective solution for scaling out and handling large data workloads compared to Oracle PL/SQL, which can be costly in terms of licensing fees and hardware infrastructure.

In Summary, ClustrixDB and Oracle PL/SQL differ in terms of scalability, ACID compliance, sharding, consistency model, built-in data distribution, and cost.

ClustrixDB vs Oracle PL/SQL

Overview